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May 14, 20260 citations

A Reproducible Python Framework for RA 11396 LUDIP Compliance with Building-Energy Benchmarking and Embodied-Carbon Screening

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NBNiño Louie BoloronCAClara A. AcebesAPAntonio A. Pescadera

Key Points

  • The aim is to develop a reproducible computational framework for Land Use Development and Infrastructure Plans (LUDIPs) compliance in Philippine universities.
  • Created a computational framework automating LUDIP compliance analytics under Republic Act No. 11396.
  • Integrated modules for energy use intensity computation, retrofit-scenario evaluation, and embodied-carbon workflow aligned with life-cycle assessment (LCA).
  • Demonstrated the framework on three distinct State Universities and Colleges (SUCs) with varying campus contexts.
  • Produced standardized functional-core shares and transition deltas from actual LUDIP datasets.
  • Confirmed the framework's applicability for land-use compliance across diverse institutional settings.
  • Showed potential outputs for energy use and embodied carbon pending further data collection.

Abstract

State Universities and Colleges (SUCs) in the Philippines are required to prepare Land Use Development and Infrastructure Plans (LUDIPs) that rationalize campus land allocations and development pipelines. While the legal and planning intent is clear, implementation is often hindered by fragmented datasets, manual workflows, and limited integration of building-energy and embodied-carbon indicators into spatial planning and LUDIP compliance workflows. This paper presents a reproducible computational framework that automates LUDIP compliance analytics under Republic Act No. 11396 and extends the planning pipeline with lightweight green-building modules: (i) energy use intensity (EUI) computation from utility bills or submeters, (ii) a structured retrofit-scenario evaluator with an optional pathway to EnergyPlus/OpenStudio simulation, and (iii) a screening-level embodied-carbon workflow aligned with life-cycle assessment (LCA) principles. The framework is demonstrated on three SUCs representing distinct campus contexts (highland, lowland multi-campus, and coastal), producing standardized functional-core shares, transition deltas, and planning signatures from actual LUDIP datasets. Although energy and embodied-carbon outputs are presented as representative schematic outputs pending detailed building-level data collection, the land-use compliance and morphology results are grounded in real campus records, confirming the framework’s applicability across diverse institutional settings.

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Cite This Study

Boloron et al. (2026) studied this question.

synapsesocial.com/papers/6a0567fda550a87e60a203e9https://doi.org/10.1051/e3sconf/202670906002/pdf
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